Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 39th cycle (2023-2026)
Department of Control and Computer Engineering (DAUIN)
Adjunct lecturer/Adjunct instructor
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Research topic
Non-invasive and low-cost solutions for health monitoring of new-borns
Tutors
Keywords
Biography
In parallel with my studies, I worked with Sleep Advice Technologies (https://www.linkedin.com/company/satechnologies/posts/?feedView=all), actively participating in experimental activities aimed at predicting drowsiness in drivers.
Following my Master’s graduation, I was awarded a one-year research fellowship at the Department of Control and Computer Engineering at Politecnico di Torino, where I focused on the analysis of physiological signals in adults during sleep and the automation of sleep pattern recognition.
I am currently a PhD candidate in the Department of Control and Computer Engineering at Politecnico di Torino and in Sleep Advice Technologies. My PhD program is dedicated to exploring innovative solutions for non-invasive and low-cost monitoring of human physiological signals. A particular emphasis is placed on technologies suited to newborns, where continuous monitoring of vital signs is crucial for assessing the maturation of cardiorespiratory control, monitoring overall health, and enabling rapid diagnosis of pathological conditions such as infections. My research primarily centers on non-invasive contactless and contact-based solutions for monitoring vital parameters. After an extensive literature review, I am conducting a thorough study on the application of radar technologies on adults, to extend this technology to newborns and children.
As part of this work, I spent two months at IEE (https://iee-sensing.com/) to acquire data on adults using their radar technology alongside a medical-grade device, gaining insight into the acquisition of vital signs from radar data. Additionally, in collaboration with a pediatric hospital, I am initiating a project to analyze data from a large cohort of children monitored with a non-invasive medical-grade device, aiming to develop automatic identification of pathological events.
Teaching
Teachings
Master of Science
- Technologies for Autonomous Vehicles. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Research
Research Areas/Fields/Groups
Publications
Latest publications View all publications in Porto@Iris
- Groppo, Sara; Violante, Massimo; Fornari, Federico; Pellegrino, Francesco; Noce, Silvia (2026)
Analisi automatica dei segnali cardiorespiratori per l’identificazione del pattern sonno-veglia nei lattanti a rischio di SIDS. In: XXXVI congresso nazionale sul sonno AIMS, 27-29 November 2026
Contributo in Atti di Convegno (Proceeding) - Groppo, Sara; Violante, Massimo; Cagnazzo, Celeste; Noce, Silvia (2026)
ANALISI AUTOMATICA DEI SEGNALI CARDIORESPIRATORI PER L’IDENTIFICAZIONE DEL PATTERN SONNO–VEGLIA NEI LATTANTI A RISCHIO DI SIDS. In: Convegno Nazionale AIIC 2026
Contributo in Atti di Convegno (Proceeding) - Guagnano, Michele; Groppo, Sara; Romigi, Andrea; Carena, Gea; Violante, Massimo (2026)
Algoritmo deterministico basato su PPG per lo screening dell'apnea ostruttiva del sonno. In: XXXVI congresso nazionale sul sonno AIMS
Contributo in Atti di Convegno (Proceeding) - Sumerano, Maria; Groppo, Sara; Violante, Massimo (2026)
Rule-based Arrhythmia Screening from Single-Lead ECG for Continuous Monitoring. In: 2026 IEEE 50th Annual Computers, Software, and Applications Conference (COMPSAC), Madrid (ESP), 7-10 July 2026, pp. 2327-2332. ISBN: 979-8-3315-4497-3
Contributo in Atti di Convegno (Proceeding) - Guagnano, Michele; Groppo, Sara; Serchi, Valeria; Beltrao, Gabriel; Pugliese, Luigi; ... (2025)
Towards in-cabin contactless sleep prediction. In: World Sleep Congress 2025
Contributo in Atti di Convegno (Proceeding)